Literature DB >> 26558322

Study of contact characteristics between a respirator and a headform.

Mang Cai1, Shengnan Shen1, Hui Li1, Xiaotie Zhang1, Yanzhao Ma1.   

Abstract

This article presents a computational study on contact characteristics of contact pressure and resultant deformation between an N95 filtering facepiece respirator and a newly developed digital headform. The geometry of the headform model is obtained based on computed tomography scanning of a volunteer. The segmentation and reconstruction of the headform model is performed by Mimics v16.0 (Materialise, Leuven, Belgium), which is a medical image processing software. The respirator model is obtained by scanning the surface of a 3M 8210 N95 respirator using a 3D digitizer and then the model is transformed by Geomagic Studio v12.0 (3D system, Rock Hill, SC), a reverse engineering software. The headform model contains a soft tissue layer, a skull layer, and a separate nose. The respirator model contains two layers (an inner face sealing layer and an outer layer) and a nose clip. Both the headform and respirator are modeled as solid elements and are deformable. The commercial software, LS-DYNA (LSTC, Livermore, CA), is used to simulate the contact between the respirator and headform. Contact pressures and resultant deformation of the headform are investigated. Effects of respirator stiffness on contact characteristics are also studied. A Matlab (MathWorks, Natick, MA) program is developed to calculate local gaps between the headform and respirator in the stable wearing state.

Keywords:  CT scanning; digital headform; finite element method; fit and comfort; respirator

Mesh:

Year:  2016        PMID: 26558322     DOI: 10.1080/15459624.2015.1116699

Source DB:  PubMed          Journal:  J Occup Environ Hyg        ISSN: 1545-9624            Impact factor:   2.155


  2 in total

1.  A computational model for predicting changes in infection dynamics due to leakage through N95 respirators.

Authors:  Prasanna Hariharan; Neha Sharma; Suvajyoti Guha; Rupak K Banerjee; Gavin D'Souza; Matthew R Myers
Journal:  Sci Rep       Date:  2021-05-21       Impact factor: 4.996

2.  Study of the micro-climate and bacterial distribution in the deadspace of N95 filtering face respirators.

Authors:  Quan Yang; Hui Li; Shengnan Shen; Guoqing Zhang; Ruiyang Huang; Yong Feng; James Yang; Shiyue Ma
Journal:  Sci Rep       Date:  2018-11-26       Impact factor: 4.379

  2 in total

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